Big Tech bonds offer higher-yield opportunity as AI financing lifts debt costs
Rising borrowing needs tied to the artificial intelligence buildout are reshaping how investors assess the largest U.S. technology companies. Bank of America says the recent jump in yields on mega-cap tech debt is creating a more attractive entry point in bonds than in equities.
Highlights
- Investment-grade tech bonds from hyperscalers now yield 6-8% as $271 billion in debt and equity issuance year-to-date drives prices lower.
- Amazon forecasts $220 billion in capital expenditure with $42.4 billion trailing 12-month outflows; Alphabet projects $195-$205 billion in spending and negative free cash flow of $9.07 billion.
- Meta plans to raise $95 billion through new stock offerings instead of debt, signaling pressure on balance sheets and a likely end to large-scale buybacks.
AI funding wave pushes up tech bond yields
As reported by CNBC, Bank of America chief investment strategist Michael Hartnett says the stronger opportunity now lies in mega-cap technology bonds rather than stocks, as concerns over mounting debt for artificial intelligence infrastructure push yields higher.Hartnett wrote in a Thursday note that some investment-grade hyperscalers are paying yields as high as 8%. He said about $271 billion in debt and equity has been issued by the hyperscalers this year, and described tech bond "diamonds in-rough" as attractive, arguing that "Mag7 bond yield attractive at 6-8%" and that underperformance of AI-linked bonds versus stocks is ending.
Bond yields rise as prices fall, meaning the recent selloff in this segment is improving income potential for investors. Hartnett also points to Meta Platforms' decision to issue equity as a sign of greater sensitivity to credit investors at a time when balance-sheet funding is under closer scrutiny.
Cash flow pressure weighs on equity outlook
Recent earnings reports have added to pressure on tech shares, with several companies posting unexpectedly large negative free cash flow while keeping capital spending at elevated levels. That backdrop is reinforcing concerns that the cost of financing the AI expansion is becoming a more important factor for equity investors.Amazon keeps its capital expenditure forecast at $220 billion, while reporting trailing 12-month outflows of $42.4 billion. Alphabet reports negative free cash flow of $9.07 billion and expects full-year capital spending of between $195 billion and $205 billion, while Microsoft is moving into the bond market for its AI financing with $25 billion in new issuance.
Meta, by contrast, is turning to the equity market for its next financing round and says it plans to raise a total of $95 billion through stock offerings. Hartnett says greater stock issuance is negative for existing shareholders and signals that the era of large buybacks among hyperscalers is ending.
The rising costs and delays around U.S. AI data center development have become a growing concern for investors, as expensive funding and project setbacks challenge the pace of capacity expansion. Our earlier article noted that only a minority of planned projects are viewed as truly credible, with power constraints, local opposition, and cost overruns adding to the financing risks for developers.